School of ScienceClosing date: 12th June 2017
RMIT is a global university of technology, design and enterprise. Our mission is to help shape the world through research, innovation, teaching and engagement, and to create transformative experiences for our students, getting them ready for life and work. Situated within the College of Science, Engineering and Health, the School of Science provides over 45 bachelor and postgraduate programs, and undertakes world class research across the disciplines of physical sciences, mathematical sciences and computer science.
One of RMIT's top-performing research schools, we deliver research that addresses the 'real life questions' essential to Australia's innovation agenda. Our high-quality teaching programs inspire students to pursue careers in a range of industries including health, materials technology, food, geospatial and surveying, environmental analysis, banking and commerce, as well as computing and IT roles and research and development across a wide range of areas. The School has staff, students and facilities on both the City and Bundoora campuses, has 300 staff, 327 higher degree research students, 3347 coursework students and an annual budget of $120 million. RMIT University is an Athena SWAN member and the College of Science, Engineering and Health is central to driving improvements in gender equality, diversity and inclusion, particularly in the Science, Technology, Engineering, Mathematics and Medicine (STEMM) disciplines.
The Role and Responsibilities
The Statistics and Analytics Lecturer is expected to contribute to the teaching and research activities of the School in the area of Statistics and Analytics. The Lecturer will also be responsible for maintaining and advancing their scholarly, research and professional capabilities relevant to this discipline. The Lecturer is expected to actively promote the discipline by establishing and maintaining memberships, links and partnerships with academic, industry and professional communities. The Lecturer is expected to work collaboratively and collegially with fellow academics within the teaching team, and update colleagues and students on developments in their subject area or specialisation.
The Lecturer will supervise research students in postgraduate research programs; contribute to the School research efforts, including research publications and competitive grant applications; offer effective participation and initiative in the development of online courses. They will be expected to contribute to the teaching and course development within the Statistics and Analytics programmes within the school and this may require short periods of teaching at overseas campuses or campuses of our partners overseas.
Skills & Experience Required
To be eligible to apply, candidates must have a PhD in Statistics (or equivalent).
Candidates should have demonstrated ability to prepare and deliver Statistics and analytics courses, in particular demonstrate skills in statistical computing using industry leading packages such as R, SAS and Python, have proven ability to develop innovative approaches to course delivery including online, and student-centred learning that successfully exploits new technologies, with a commitment to continuous quality improvement through ongoing training and development
For more information and to apply, click here.
**Mention you saw it on the AustMS website**